Netflix hiring [Remote] Full Stack Engineer Machine Learning in USA : Freshers can Apply

Netflix hiring [Remote] Full Stack Engineer Machine Learning in USA : Freshers can Apply

Organization	Netflix
Team	Engineering – Machine Learning Platform
Post Name	Full-Stack Engineer L5, ML Insights & Visualizations, Machine Learning Platform
Category & Level	L5 (Senior Engineer)
Duty Station	USA (Remote)
Work Type	Remote
Salary	Market-driven, typically $100K–$558K (salary and stock options)
Last Date to Apply	Position open for at least 7 days; removed when filled

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in more than 190 countries, offering TV series, films, and games across a wide variety of genres and languages.

Machine Learning/AI powers innovation across all areas of the business, from personalization and content recommendations to optimizing revenue and payment processing.

This role places you at the heart of Netflix’s Machine Learning Platform, building tools and platforms that enable AI/ML practitioners to develop, deploy, and monitor business-critical models.

You’ll work on end-to-end solutions spanning UI, backend, and data layers, collaborating with product managers, ML engineers, and data scientists to deliver intuitive, insightful experiences for teams working on personalization, growth, commerce, ads, content, and studio AI/ML algorithms.

• Design and build end-to-end solutions for web-based internal tools and platforms that help AI/ML practitioners visualize, monitor, and operate AI/ML models and pipelines.
• Enhance observability by building and improving dashboards for model observability, anomaly and drift detection, cost monitoring, and system health.
• Improve user experience by gathering feedback and delivering intuitive, seamless, and impactful user experiences.
• Drive product excellence by continuously improving systems, codebase, and team processes to enhance overall performance.
• Introduce and champion best practices in full-stack development.
• Collaborate with engineering, product, and research teams distributed across multiple US-based time zones to deliver impactful solutions and drive ML/AI innovation.

• Passion for empowering others and building tools that create leverage for ML/AI practitioners.
• Ability to thrive in ambiguous environments and deliver results while investing in long-term solutions.
• Collaborative mindset, valuing diverse perspectives, and contributing to a culture of inclusion and excellence.
• Curiosity, eagerness to learn new technologies and domains, and enjoyment in mentoring others.

No specific age limit mentioned; eligibility is based on professional experience and qualifications.

BS/MS in Computer Science, Applied Math, Engineering, or a related field, or equivalent practical experience.

• Proficiency in modern UI frameworks (React preferred), JavaScript/TypeScript, Node.js, and building scalable backend systems (Java, Scala, or similar; Spring Boot or equivalent frameworks).
• Hands-on experience with public cloud platforms (AWS, Azure, or GCP).
• Familiarity with ML model lifecycle management, logging, metrics, analytics, and building tools for data visualization and observability.
• Experience in maintaining and improving legacy systems, evaluating tradeoffs between refactoring, rebuilding, and buying solutions.
• Excellent written and verbal communication skills, with a proactive approach to cross-functional collaboration.
• Experience building UI tools for ML practitioners or data scientists is a plus.
• Deep understanding of ML model development, deployment, and monitoring workflows is highly desirable.
• Track record of shipping and refining products based on user feedback.[file:17]
• Passion for data-driven product development and improving engineering productivity.

Post	Location	Work Type	Level
Full-Stack Engineer L5, ML Insights & Visualizations	USA (Remote)	Remote	L5

No category-wise breakdown is provided; the role is open to all eligible candidates meeting the requirements.

No application fee is charged.

• Job Posting Date: 26 November 2025
• Application Deadline: Position open for at least 7 days; removed when filled

• Applications are reviewed for professional experience, technical skills, and cultural fit.
• Shortlisted candidates are invited for interviews and technical assessments.
• Netflix values high performance, candor, context over control, and inclusion in its hiring process.

• Work on cutting-edge AI/ML projects, including bandits, multi-task learning models, Large Language Models (LLMs), and foundation models.
• Collaborate with top-tier engineers, product managers, and data scientists in a fast-paced, innovative environment.
• Continuous learning through cross-functional collaboration, feedback-driven product refinement, and exposure to new technologies and domains.

• Flexible, market-driven compensation structure (choose your mix of salary and stock options; typical range: $100K–$558K).
• Comprehensive benefits package (healthcare, dental, vision, life insurance, retirement plans, parental leave, and more).
• Generous paid time off (vacation, sick leave, holidays).
• Flexible work arrangements (remote work, flexible hours).
• Opportunities for professional development, mentoring, and career growth.
• Inclusive culture with a focus on diversity, equity, and inclusion.

• Role is remote (USA-based candidates only).
• Must be able to work across multiple US-based time zones.
• Accommodations and adjustments are available for candidates with disabilities or other needs during the hiring process.
• Equal opportunity employer; no discrimination based on race, religion, color, ancestry, national origin, sex, sexual orientation, gender, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

• Visit the official job page: explore.jobs.netflix.net and click “Apply Now”.
• Submit your application with your resume, cover letter, and any required documents.
• Applications will be reviewed on a rolling basis; the position will be removed when filled.

• Apply Online: explore.jobs.netflix.net
• Netflix Careers: explore.jobs.netflix.net
• Netflix Official Site: www.netflix.com

• Is this a remote position? Yes, this role is fully remote for USA-based candidates.
• What is the salary range? Market-driven, typically $100K–$558K (salary and stock options).
• What are the benefits? Comprehensive benefits package, generous paid time off, flexible work arrangements, professional development, and an inclusive culture.
• What are the required skills? Full-stack development (React, JavaScript/TypeScript, Node.js, Java/Scala/Spring Boot), cloud experience (AWS/Azure/GCP), ML observability, and strong communication skills.
• What is the application deadline? Position open for at least 7 days; removed when filled.
• Is there an application fee? No, there is no application fee.
• Are accommodations available for candidates with disabilities? Yes, Netflix offers accommodations and adjustments during the hiring process.
• What is the work culture like? High performance, candor, context over control, and inclusion. Netflix values diversity and celebrates a wide range of backgrounds, perspectives, and skills.